19 results about "ProteinChips" patented technology

The invention belongs to the field of biomedical detection, and particularly relates to a protein chip, a detection kit based on a polypeptide coding microarray chip and application of the detection kit. According to the protein chip provided by the invention, an antibody and a bispecific antibody of corresponding indexes can be added into a treating fluid according to detection requirements, the antibody and the bispecific antibody are combined with the chip in a manner of polypeptide specific recognition after being subjected to antigen specific recognition respectively, and joint detection of different antigen combinations and detection of a single index are carried out. By utilizing the polypeptide sample application chip and the antigen and antibody combined bispecific antibody provided by the invention, the universality of the chip in use, the high efficiency of detection and the low cost can be remarkably improved.

The present invention relates to a kind of Angong Niuhuang Wan quality evaluation method based on STAT3 protein biological effect, it is to use surface plasmon resonance (SPR) detection technology, specifically including the following steps: 1) construction of protein chip;2) preparation of test solution;3) preparation of reference solution;4) test solution and reference solution injection are taken respectively and carry out SPR detection, analyze and flow through protein chip surface and STAT 3 protein binding, measure corresponding response value (RU value).Quality evaluation standard is that the ratio of test sample RU value to reference substance RU value should be not less than 1.The present invention is optimized and verified by methodology, and accuracy is high, can reflect the effectiveness of Angong Niuhuang Wan clinical treatment, further improves the quality control system of Angong Niuhuang Wan, possesses practical application promotion value.

The utility model relates to the field of automatic product quality inspection, in particular to an automatic protein chip quality inspection device based on machine vision. Comprising the steps that an X-axis moving platform drives a camera to horizontally move in the X-axis direction, a Y-axis moving platform drives a bearing tray to horizontally move in the Y-axis direction, the camera is fixed to the X-axis moving platform, the bearing tray is used for bearing a protein chip, and the camera is in communication connection with a PC terminal to transmit image data; a positioning calibration module is further arranged to compensate mechanical errors, a light source module provides a detection light source, and the surface of the bearing tray is provided with an anti-skid coating and / or a positioning groove. And the PC end configures an image splicing control module to splice the local images of the blocks into a global view in combination with the position encoder. The technical effects that automatic quality inspection of the protein chip is achieved, the quality inspection efficiency and accuracy are improved, the stability of the chip during movement is ensured, and a complete chip image is obtained are achieved.

The utility model discloses a fixing device of a protein detection chip, which comprises a table body, the top end of the table body is fixedly connected with a table top, the top end of the table top is fixedly provided with a placing table, two sides of the top end of the table top are fixedly provided with two clamping parts, and the rear part of the top end of the table top is provided with a moving mechanism. According to the fixing device for the protein detection chip, the clamping part is arranged, so that the protein detection chip can be clamped and fixed, the size and the thickness of the chip can be adjusted, and the length of the telescopic end of the air cylinder is adjusted to meet the requirement for clamping chips of different sizes; the vertical sliding of the upper clamping block is adjusted to meet the requirement for clamping chips with different thicknesses, higher adaptive capacity is achieved to adapt to protein detection chips with different specifications, the optical detector can be moved to any point above the placement table by arranging the moving mechanism, the optical detector has higher moving freedom degree, and the detection efficiency is improved. Meanwhile, the detection work of protein chips with different specifications can be met.

The application discloses an application of an indole dione piperazine compound in preparation of a drug for resisting prostate cancer. Experiments such as MTT, flow cytometry, protein chip, molecular docking, CETSA, transmission electron microscopy and zebra fish model prove that the compound significantly inhibits proliferation of prostate tumor cells such as PC-3, 22Rv1 and DU145, blocks division of PC-3 cells in the G1 phase, and induces apoptosis and necrotic apoptosis of PC-3 cells; the mechanism is that the compound directly combines NQO1 and NRF2, activates the HO-1 / NRF2 / NQO1 pathway, promotes excessive generation of ROS, and causes NQO1-dependent oxidative stress. The zebra fish model in vivo shows that the compound inhibits growth of prostate tumors. The application provides a lead compound with a new mechanism for preventing and treating prostate cancer and potential for overcoming drug resistance.

The utility model discloses a microfluidic protein chip, which belongs to the technical field of biochips and diagnostic reagents and comprises an upper shell and a lower shell, the upper shell and the lower shell are connected in a clamping manner, a sample introduction window is arranged on the upper shell, and a through hole is arranged on the upper shell; a sample adding area, a reaction area and a micro-fluidic area are arranged in the lower shell, the sample adding area is located at one end of the reaction area, and the micro-fluidic area is arranged at the other end of the reaction area; the micro-fluidic area comprises a micro-fluidic channel and a waste liquid tank, and after the upper shell and the lower shell are covered, the through hole is formed in the upper part of the waste liquid tank. The micro-fluidic protein chip disclosed by the utility model is simple to manufacture and convenient to operate, not only can accurately control the reaction time, but also can realize the recovery of waste liquid and avoid environmental pollution.

The invention provides a lung tumor early warning protein chip and application thereof. The protein chip comprises an antigen group, the antigen group comprises an antigen; the antibody corresponding to the antigen is p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, MAGE A4, SARS, ZPR1, FAM131A, GGA3, PRKCZ, HDAC1, GOLPH3, NSG1, CD84, EEA1, CEA, CYFRA211 and the like; the protein chip is used for early warning and evaluation of lung tumors, and the early warning and evaluation comprises the following steps: collecting serum of a to-be-detected crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-detected crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by a high-throughput technology, and is used for risk early warning detection of lung tumors.

The utility model discloses a microporous percolation protein detection chip, which belongs to the technical field of biochips and diagnostic reagents, and comprises an upper shell and a lower shell, the upper shell is connected with the lower shell in a clamping manner, a microporous membrane is arranged between the upper shell and the lower shell, the upper surface of the upper shell is provided with a concave cavity, a sample introduction window is arranged in the cavity, and the sample introduction window is connected with the microporous membrane. A sample introduction window is formed in the upper surface of the lower shell, a sample introduction hole is formed in the sample introduction window, the lower end of the sample introduction hole is connected with a sample introduction channel, the bottom of the sample introduction channel is connected with a reaction area on the microporous membrane, the lower end of the reaction area is connected with a sample outlet channel, and the lower end of the sample outlet channel is connected with a sample outlet hole in the upper surface of the lower shell. The protein chip disclosed by the utility model can reduce the use amount of samples, is accurate in measurement result, and does not cause environmental pollution.

This invention discloses a method and system for identifying the origin and year of dried tangerine peel based on multi-biomimetic sensor fusion. The method includes: acquiring at least two biosensor response signals of the tangerine peel to be tested, wherein the at least two biosensor response signals include a first response signal from an olfactory receptor protein chip and a second response signal from a neuron chip; inputting the first and second response signals into a pre-trained first classification model and a second classification model respectively to obtain a first and second predicted origin and / or year corresponding to the tangerine peel to be tested; fusing the first and second predicted origin and / or year results, and outputting the origin and / or year identification result of the tangerine peel to be tested based on the fused result. This invention significantly improves the accuracy, reliability, and reproducibility of identifying the origin and year of dried tangerine peel, and achieves rapid, non-destructive on-site detection.

The application provides a protein chip for early warning of breast cancer and application thereof, the protein chip comprises an antigen group; the antigen group comprises antigens; antibodies corresponding to the antigens are at least one of 111 kinds of AKAP4, BRCA2, CIP2A, GIPC1, P53, SOX2, A1AT, ANGPTL4, BRAF, C1D, LRRC26 and the like; the protein chip is used for early warning and evaluation of breast cancer; steps of the early warning and evaluation include collecting serum of a to-be-tested crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-tested crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by using a high-throughput technology, and is used for risk early warning detection of breast cancer.

The invention discloses an early warning evaluation method based on canceration caused by pulmonary nodule immune microenvironment imbalance, which comprises the following steps: S1, acquiring autoantibody detection data of normal, pulmonary nodule and lung cancer people from a database, and establishing a pulmonary nodule canceration data set Panne l containing 159 autoantibodies as risk early warning factors of pulmonary nodule canceration; s2, preparing a lung cancer risk factor Panne l protein chip according to the Panne l data, wherein the lung cancer risk factor Panne l protein chip comprises antigen proteins of 159 lung cancer related autoantibodies; s3, using a Panne l protein chip to detect the serum of the crowd; and S4, according to the detection data, establishing a risk early warning model of pulmonary nodule canceration for the analysis and early warning of the lung cancer occurrence risk of the crowd (mainly aiming at the pulmonary nodule crowd). According to the method, the cancer related autoantibodies are systematically detected through a protein chip method for people with high detection rate of pulmonary nodules in China, and the method is used for early warning of the occurrence risk of pulmonary nodule immune abnormality canceration of people.

The present application relates to the field of forensic science, and specifically relates to a death time prediction method based on a Stacking integrated method and comprehensive multi-omics data, comprising the following steps: collecting rat skeletal muscle samples, using metabolomics, protein chip and infrared spectrum detection technology to extract the expression amount of related biomarkers in the tissue; inputting the expression amount data of the biomarkers into a plurality of basic models respectively to deduce the death time, and screening out a single-omics optimal basic model with the best death time prediction performance; screening out two basic models with the lowest correlation with the single-omics optimal basic model to jointly construct a single-omics Stacking model; and connecting the above single-omics Stacking integrated model in series to construct a multi-omics integrated model. The present application provides a new method and new idea for predicting death time by combining multi-omics multi-molecular markers, and lays a foundation for applying a multi-omics joint machine learning model to death time deduction practice.

The application belongs to the field of microfluidic protein chips, and specifically discloses a microfluidic protein chip for allergen detection, which comprises a sample adding area and a microfluidic unit, the microfluidic unit comprises a dilution area, a premixing area, a labeling area, a quantification area and a detection area which are connected in sequence, wherein the sample adding area comprises a first sample adding area and a second sample adding area, the first sample adding area is used for adding a whole blood sample, and the second sample adding area is used for adding a serum or plasma sample, different samples can be distinguished and processed; the first sample adding area is designed ingeniously by setting a capillary channel as a valve; a vibrator is arranged in the premixing area to drive a mixing ball to vibrate, so that the mixing efficiency is improved, the mixing of the sample and the diluent is more sufficient, the mixing time is reduced, and the difference of detection results is reduced; the detection result difference is further reduced through quantification of each sub-quantification area; and the labeling area and the detection area can be coated with multiple antibodies, and detection of multiple to-be-detected substances can be simultaneously performed.

The utility model discloses a protein chip for detecting respiratory viruses, which belongs to the technical field of biochips and diagnostic reagents and comprises an antigen loading membrane, a reverse osmosis membrane layer, a water absorption membrane layer and a leakage-proof membrane layer are sequentially fixed on the lower surface of the antigen loading membrane, and a detection area is arranged on the upper surface of the antigen loading membrane. The detection area comprises a plurality of antigen loading areas and a quality control area, a respiratory tract specific antigen is fixedly loaded on each antigen loading area, and the respiratory tract specific antigens comprise chlamydia pneumoniae, mycoplasma pneumoniae, adenovirus, syncytial virus, influenza B virus and parainfluenza virus. The percolation type protein chip can be used for detecting six pathogens related to the respiratory tract, and is simple in method and high in practicability.

This invention provides a protein chip for early warning of liver cancer and its application. The protein chip includes an antigen set; the antigen set includes antigens; the antibodies corresponding to the antigens are at least one of 61 selected from GNA11, GNAS, IDH1, MSH2, NPM1, PAX5, PTCH1, PTEN, SRSF2, Survivin, CAST, PAIP1, PRKCZ, RAD23A, RUNX1T1, SARS, TP53, APEX2, RCSD1, and AIF1; the protein chip is used for early warning assessment of liver cancer, and the early warning assessment steps include: collecting serum from the target population, using the protein chip to detect the serum to obtain detection data, and then determining whether they belong to a low-risk, medium-risk, or high-risk population based on a risk warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals using high-throughput technology for early warning detection of liver cancer.

The application provides a background noise suppression system for a microarray protein chip, and relates to the technical field of chip detection, and comprises a collection module, which is used for collecting an original fluorescence image of the microarray protein chip by a laser confocal scanner at a preset excitation power, and taking the original fluorescence image as a to-be-processed signal matrix; an extraction module, which is used for locating three reference entities pre-solidified on a chip substrate from the to-be-processed signal matrix, the three reference entities being located at non-array regions of the upper left corner, the center point and the lower right corner of the chip respectively, and each reference entity being composed of inert fluorescent microspheres with a known concentration; and the mean values of the fluorescence intensities of local windows where the three reference entities are located are extracted respectively as discrete sampling values of spatial heterogeneity background noise. The application improves the low-abundance protein signal detection rate, reduces the quantitative deviation of the array edge, and improves the detection repeatability and quantitative accuracy.

The utility model relates to the technical field of medical drug detection equipment, and discloses a sample processing device for protein chip detection, which comprises two support frames and a plurality of uniformly distributed clamping plates, the upper ends of the adjacent sides of the two support frames are provided with first chutes, and the lower ends of the adjacent sides of the two support frames are provided with fixing components. According to the utility model, the two sides of the clamping plates are fixedly provided with the fixing plates, the two fixing plates are connected through the low-temperature-resistant tension spring, and the clamping plates are provided with the plurality of low-temperature-resistant silica gel convex blocks, so that the two clamping plates can be connected together through the low-temperature-resistant tension spring; according to the sampling tube fixing device, the low-temperature-resistant silica gel protruding blocks are arranged on the supporting plate, the placed sampling tube is clamped and fixed through the low-temperature-resistant silica gel protruding blocks, meanwhile, the cylindrical protruding blocks are fixed in the grooves formed in the supporting plate, the sampling tube can be supported, and therefore the number of freezable contact points between the sampling tube and the fixing device can be effectively reduced while the sampling tube is fixed.

This application discloses a method for protein chip detection of brucellosis, relating to the technical field of brucellosis detection. The method involves spotting Brucella synergistic composite antigens for multi-index combined detection onto a pretreated solid-phase carrier, drying, and then washing. A blocking agent is then added for blocking, followed by washing to obtain a protein chip. An initial sample is then collected, diluted, centrifuged, and the supernatant is collected. The supernatant is added to the protein chip site, incubated with shaking, washed, and then a secondary antibody is added for further incubation and washing. Finally, a fluorescence scanner is used to read the signal, subtract the background, and determine whether the sample is positive or negative. This method has a wide detection range, strong specificity, and high sensitivity, and has a very broad application prospect.

The invention discloses a stomach cancer image sketching system based on PET / CT and protein chip fusion. The system comprises a medical image acquisition module, a protein chip analysis module, a data fusion and image sketching module, a diagnosis assistance and evaluation module and an interactive display and feedback module. By constructing a multi-modal fusion structure, a system fusion structure image, a functional image and a protein expression parameter, a preliminary mask, an expression correction mask and a final fusion mask are sequentially generated, and high-precision recognition of a focus area is achieved. And the diagnosis evaluation module constructs a scoring function model by using the structure score, the expression score and the form score, and outputs a risk level and auxiliary diagnosis information. The system also supports the construction of a feedback correction mask based on an error graph and a pixel weight graph of user interaction feedback, and is used for dynamically adjusting a fusion weight and a model parameter, thereby achieving the self-adaptive optimization of a diagnosis result. The method improves the sketching precision and the intelligent level, and is suitable for gastric cancer image analysis and auxiliary diagnosis scenes.